Systems, Learning and Control, MSc

120 credits
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Overview

  • Educational areaAutomation and Mechatronics
  • DegreeMaster of Science, MSc
  • LanguageEnglish
  • Duration2 years
  • Rate of studyFull-time, 100 %
  • Instructional timeDaytime

Important dates

  • Application opens
  • Application closes

Summary

Intelligent systems that can sense, analyse, and act independently are reshaping the way we live. From industrial robotics to autonomous vehicles and advanced communication networks, these technologies are driving transformation across manufacturing, transport, energy, healthcare, and many other sectors. Develop advanced expertise in the systems of the future and help shape this transformation.

Specialisations

Programme description

The Systems, Learning and Control master’s programme is about investigating how technical systems behave, and how they can be modelled, analysed, designed and controlled. You will combine mathematics, engineering, and computing to explore intelligent, cyber-physical systems, using them to tackle real challenges in areas like robotics, vehicles, and manufacturing.

It begins by building a strong foundation in areas like modelling for dynamic systems, advanced signal processing, control, and design of cyber-physical systems. Together, these provide the theoretical framework for mastering dynamic systems across many engineering applications. Then, you will be able to deepen your knowledge further through a range of specialisations, covering some of the most important areas of the field, like robotics, automation, electro-mobility, communication systems and vehicle systems. There is considerable flexibility for you to tailor the education towards the industries and technologies that interest you most.

Project work is an essential part of the programme. Throughout your studies, you will apply theoretical knowledge to practical engineering challenges found in a wide range of industries. You will work in teams to design, model, simulate, and evaluate technical systems, developing expertise alongside vital professional skills in communication, collaboration, and teamwork. These projects often draw on real scenarios from some of Chalmers’ industrial partners, such as Ericsson, Volvo Group, Volvo Cars, and Zensact. You may also be able to complete your master’s thesis in collaboration with companies like these.

Artificial intelligence and machine learning are also integrated throughout the programme. Rather than treating AI as a field in isolation, the programme explores how machine intelligence can improve modelling, control, optimisation, and autonomous decision-making across the whole breadth of cyber-physical systems.

Job opportunities

After graduation, you will be ready for advanced engineering roles wherever intelligent technical systems are developed and operated. This spans industries like robotics, automotive engineering, telecommunications, energy systems, manufacturing and more.

Relevant roles include control engineer, robotics engineer, embedded systems developer, vehicle dynamics engineer, among many others. There are also opportunities within systems integration, technical consulting, product development, testing and validation, and applied research. The different specialisations naturally provide ideal pathways into different industries. Chalmers extensive history of collaboration with International firms like the Volvo group, Scania, SKF, Tetra Pak, and others also mean you will have excellent opportunities to make early career connections through your studies and master’s thesis.

The skills you develop are highly valuable across industries undergoing rapid digital transformation, particularly those developing autonomous, connected, and electrified systems. It also provides an excellent foundation for doctoral studies within systems and control and related research fields.

Research

The programme is closely connected to research at Chalmers, in areas such as automation, control theory, communication systems, signal processing, vehicle engineering, mechatronics and robotics. Current research informs the teaching, project work and courses throughout the programme.

Master's thesis projects are frequently carried out in collaboration with researchers and industrial partners, allowing you to contribute to academic research with practical engineering relevance.

You also have opportunities to take advanced courses connected to Chalmers' doctoral education, providing an additional pathway into research for those considering a PhD.

Requirements

Bachelor's degree in: Mechatronics Engineering, Mechanical Engineering, Electrical Engineering, Engineering Physics, Chemical Engineering, Computer Engineering, Engineering Mathematics

Prerequisites: Mathematics (at least 30 cr. including Linear Algebra, Multivariable Analysis, Transforms, Mathematical Statistics), Automatic Control (including PID Controllers, State-Space Models, Stability Analysis of Transfer Functions and State-Space Models, Linearisation of Nonlinear Models, Bode and Nyquist Diagrams, Stability Analysis using Nyquist’s Full Criteria), Physics (including Kirchhoff’s Circuit Laws, Newton’s Second Law for Translational and Rotational Motion), Basic Programming

English language requirements: Prove your English proficiency

How to apply

Find out how to apply for a master's programme at Chalmers. Learn about the application process, including entry requirements, required documents and key deadlines.

From application to admission

This guide explains how to apply for a Master's programme and which documents you need to submit to complete your application.

How to select a specialisation

You can only select one specialisation.

Specialisation with separate entry requirements

For more information visit the webpage for each specialisation.

To choose this specialisation, you must select it when submitting your application via antagning.se or universityadmissions.se.

If you choose one of the other specialisations, you can select it after you have been admitted and enrolled.